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http://dx.doi.org/10.6113/JPE.2018.18.5.1489

Fast Partial Shading Analysis of Large-scale Photovoltaic Arrays via Tearing Method  

Zhang, Mao (Beijing Institute of Technology)
Zhong, Sunan (Beijing Institute of Technology)
Zhang, Weiping (North China Univ. of Technology, Beijing Key Lab. for Integration and Manufacture of Energy Saving Lighting Power Supply)
Publication Information
Journal of Power Electronics / v.18, no.5, 2018 , pp. 1489-1500 More about this Journal
Abstract
Partial shading analysis of large-scale photovoltaic (PV) arrays has recently become a theoretically and numerically challenging issue, and it is necessary for PV system designers. The main contributions of this study are the following: 1) A PSIM-based macro-model was employed because it is remarkably fast, has high precision, and has no convergence issues. 2) Three types of equivalent macro-models were developed for the transformation of a small PV sub-array with uniform irradiance to a new macro-model. 3) On the basis of the proposed new macro-model, a tearing method was established, which can divide a large-scale PV array into several small sub-arrays to significantly improve the efficiency improvement of a simulation. 4) Three platforms, namely, PSIM, PSpice, and MATLAB, were applied to evaluate the proposed tearing method. The proposed models and methods were validated, and the value of this research was highlighted using an actual large-scale PV array with 2420 PV modules. Numerical simulation demonstrated that the tearing method can remarkably improve the simulation efficiency by approximately thousands of times, and the method obtained a precision of nearly 6.5%. It can provide a useful tool to design the optimal configuration of a PV array with a given shading pattern as much as possible.
Keywords
Partial shading; Photo voltaic (PV) array; Piece-wise linear circuit; Simulation efficiency; Tearing method;
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1 G. Das, M. De, K. K. Mandal, and S. Mandal, "Investigation on modeling, simulation and sensitivity analysis of solar photovoltaic array and utilization of shading effects," International Conference on Computational Intelligence & Communication Technology, 2017.
2 H. S. Moreira, T. P. e Oliveira, M. V. G. dos Reis, J. F. Guerreiro, M. G. Villalva, and T. G. de Siqueira, "Modeling and simulation of photovoltaic systems under non-uniform conditions," IEEE International Symposium on Power Electronics for Distributed Generation Systems, 2017.
3 M. Zhang, S. Zhong, P. Mao, Y. Sun, and W. Zhang, "Modelling of PV module and its application for partial shading analysis - Part I: Model and Parameter Estimation of PV module," J. Engineering, Vol. 2017, No. 3, pp. 1295-1298, 2017.
4 W. De Soto, S. A. Klein, and W. A. Beckman, "Improvement and validation of a model for photovoltaic array performance," Solar Energy Vol. 80, No. 1, pp. 78-88, Jan. 2006.   DOI
5 H. Tian, F. Mancilla-David, K. Ellis, E. Muljadi, and P. Jenkins, “A cell-to-module-to-array detailed model for photovoltaic panels,” Solar Energy, Vol. 86, No. 9, pp. 2695-2706, Sep. 2012.   DOI
6 V. Quaschning and R. Hanitsch, “Numerical simulation of current-voltage characteristics of photovoltaic systems with shaded solar cells,” Solar Energy, Vol. 56, No. 6, pp. 513-520, Jun. 1996.   DOI
7 G. R. Walker, “Evaluating MPPT converter topologies using a Matlab PV model,” J. Electrical & Electronics Engineering Australia, Vol. 21, No. 1, pp. 49-55, 2001.
8 S. Vijayalekshmy, S, G. R. Bindu, and S. R. Iyer, "A novel approach for performance improvement of partially shaded solar arrays," International Conference on Energy Efficient Technologies for Sustainability, 2016.
9 V. Quaschning and R. Hanitsch, "Shade calculations in photovoltaic systems," ISES Solar World Conference, 1995.
10 A. Mäki and S. Valkealahti, “Power losses in long string and parallel-connected short strings of series-connected silicon-based photovoltaic modules due to partial shading conditions,” IEEE Trans. Energy Convers., Vol. 27, No. 1, pp. 173-183, Mar. 2012.   DOI
11 S. K. Dash, R. A. Raj, S. Nema, and R. K. Nema, "A quantitative and comparative performance evaluation of PV models on PSPICE platform," International Conference on Circuit, Power and Computing Technologies, 2015.
12 H. Patel and V. Agarwal, “MATLAB-based modeling to study the effects of partial shading on PV array characteristics,” IEEE Trans. Energy Convers., Vol. 23, No. 1, pp. 302-310, Mar. 2008.   DOI
13 G. R. Walker, “Evaluating MPPT converter topologies using a Matlab PV Model,” J. Electrical & Electronics Engineering Australia, Vol. 21, No. 1, pp. 49-55, Jan. 2001.
14 J. Yang, X. Lian, X. Zhang, Z. Duan, M. Wang, "Versatile PSIM simulation model for photovoltaic array with MPPT function," International Conference on Intelligent Computation Technology & Automation, 2011.
15 PSIM User Manual, USA: Powersim Inc. 2007. J. D.
16 M. G. Villalva, J. R. Gazoli, and E. R. Filho, “Comprehensive approach to modeling and simulation of photovoltaic arrays,” IEEE Trans. Power Electron., Vol. 24, No. 5, pp. 1198-1208, May 2009.   DOI
17 M. F. Jalil, R. Saxena, M. S. Ansari, and N. Ali, "Reconfiguration of photo voltaic arrays under partial shading conditions," Computational Intelligence on Power, Energy and Controls with Their Impact on Humanity, 2016.
18 https://powersimtech.com/support/resources/literature-references/, Feb. 6, 2018.
19 L. Castaner and S. Silvestre, Modelling Photovoltaic Systems Using PSpice(R), 2006.
20 E. A. Silva, F. Bradaschia, M. C. Cavalcanti, and A. J. Nascimento, “Parameter estimation method to improve the accuracy of photovoltaic electrical model,” IEEE J. Photovolt., Vol. 6, No. 1, pp. 278-285, Jan. 2016.   DOI
21 www.yinglin.com/manmual, Feb. 6, 2018.
22 https://en.wikipedia.org/wiki/Diakoptics, Feb. 6, 2018.
23 G. Kron, Diakoptics: Piecewise Solution of Large-scale Systems, Macdonald, 1963.
24 A. Brameller, M. N. John, and M. R. Scott, Practical Diakoptics for Electrical Networks, 1969.